A first course in probability and statistics with a focus on discrete spaces.
A project oriented course on theory and applications of MCMC techniques.
Probabilistic Graphical Models refers to i.) concise representations of probability distributions using graphs ii.) efficient algorithms for sampling distributions represented in such form iii.) learning these representations from data.
Surveying Deep learning methods used in Reinforcement Learning